no code implementations • 20 Jun 2022 • Sean T. Vittadello, Michael P. H. Stumpf
Biology is data-rich, and it is equally rich in concepts and hypotheses.
no code implementations • 3 Nov 2021 • Sean T. Vittadello, Michael P. H. Stumpf
First, we present a rigorous and automatable methodology for the core process of comparison by equivalence, namely determining the vertices in a simplicial representation, corresponding to model components, that are conceptually related and the identification of these vertices via simplicial operations.
no code implementations • 17 Aug 2021 • Robyn P. Araujo, Sean T. Vittadello, Michael P. H. Stumpf
Innovation in synthetic biology often still depends on large-scale experimental trial-and-error, domain expertise, and ingenuity.
1 code implementation • 24 Dec 2020 • Sean T. Vittadello, Michael P. H. Stumpf
In many scientific and technological contexts we have only a poor understanding of the structure and details of appropriate mathematical models.
Model Selection Algebraic Topology Quantitative Methods
no code implementations • 6 Mar 2020 • Sean T. Vittadello, Scott W. McCue, Gency Gunasingh, Nikolas K. Haass, Matthew J. Simpson
As motivation for our model we provide experimental data that illustrate the induced-switching process.